Tony Tadic

39 papers receiving 410 citations

Peers

Tony Tadic
Comparison fields: 5 of 55
  • Radiation 137
  • Health Informatics 15
  • Radiology, Nuclear Medicine and Imaging 210
  • Otorhinolaryngology 20
  • Pulmonary and Respiratory Medicine 80
Replace Tomohiro Kajikawa with:
Tomohiro Kajikawa Japan
Dongho Shin South Korea
R. Speight United Kingdom
N Mistry United States
Robba Rai Australia
A. Saito Japan
Seng Boh Lim United States
Wataru Takeuchi Japan
Giulia Fontana Italy
Kaley Woods United States
Tony Tadic relative to Tomohiro Kajikawa Japan Tomohiro Kajikawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tony Tadic

Since Specialization
Citations

This map shows the geographic impact of Tony Tadic's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tony Tadic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Tadic more than expected).

Fields of papers citing papers by Tony Tadic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony Tadic. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tony Tadic. The network helps show where Tony Tadic may publish in the future.

Co-authors

The 25 scholars most cited alongside Tony Tadic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tony Tadic Line = papers co-authored together Tony Tadic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201253
2 202153
3 201235
4 202429
5 202329
6 202026
7 201422
8 202321
9 201020
10 201019
11 201918
12 202111
13 202110
14 202210
15 20128
16 20206
17 20216
18 20145
19 20244
20 20243

About Tony Tadic

Tony Tadic is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine, Artificial Intelligence and Otorhinolaryngology, having authored 42 papers that have together received 422 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (12 papers), Advanced MRI Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (4 papers), AI in cancer detection (4 papers), Head and Neck Cancer Studies (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Radiation (137 citations), Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (210 citations), Otorhinolaryngology (20 citations) and Pulmonary and Respiratory Medicine (80 citations). Tony Tadic has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include B. G. Fallone, David A. Jaffray, Benjamin Haibe‐Kains, Scott V. Bratman, Charles Kirkby, Brad Warkentin, Teodor Stanescu, S Rathee, Reza Reiazi and Fei‐Fei Liu. Their work appears in journals such as Medical Physics, Radiotherapy and Oncology, International Journal of Radiation Oncology*Biology*Physics, Physics and Imaging in Radiation Oncology and Clinical and Translational Radiation Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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